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9.3 Research Brief Human-automation Cognitive Coupling

9.3 Research Brief  Human-automation Cognitive Coupling

Q Increasing the levels of automation in systems presents several challenges, including that of the degree of coupling between the human agent and the machine or software agents. As system complexity escalates, the design tends toward designating either the human or the machine to direct the decision processes. In this sense, human-automation coordination designs are limited by the mindset that technology and people are independent components. Functional interface concepts for joint cognitive systems have been likened to performance characteristics of a team of individuals. Rather than one individual directing, the individual interactions form the team’s performance. This goes to the heart of the matter in understanding a coupled system. Since a cognitive system is defined by its ability to modify patterns of behavior on the basis of past experience, how might the issue of humans versus machine agents be reconciled so they are jointly creating the system’s collective knowledge and thinking? Describe an approach for designing a system that would achieve joint cognition as a result of human and machine agent coupling, including strengths and limitations involved. Present this as a brief. Your brief should be approximately 800 words in length and should be written in APA format. Save your assignment using a naming convention that includes your first and last name and the activity number (or description). Do not add punctuation or special characters. Your paper will automatically be evaluated through Turnitin when you submit your assignment in this activity. Turnitin is a service that checks your work for improper citation or potential plagiarism by comparing it against a database of web pages, student papers, and articles from academic books and publications. Ensure that your work is entirely your own and that you have not plagiarized any material!

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The issue of the juxtaposition/synchronization and compatibility of machine agents with capabilities of human agents can remain an issue for the future. However, there has to be more concentration shown towards formulating a specific teaming agent which can provide the required levels of cognition. There has to be a customized way of ensuring that mental modeling can be achieved for the human agents with the facilitation of a specific human-automation operating continuation.